Article
Energy & Fuels
Ashkan Taherkhani, Farhad Bayat, Kaveh Hooshmandi, Andrzej Bartoszewicz
Summary: This paper proposes a generalized sliding mode observer design method for robust reconstruction of sensors and actuators faults in the presence of unknown disturbances and uncertainties. The method considers the effect of uncertainty and disturbance on the system in generalized state-space form and combines the LMI tool with the concept of an equivalent output error injection method to reduce their effects on the reconstruction process. The simulation results demonstrate the robust performance of the proposed approach in the presence of unknown perturbations and uncertainties.
Article
Automation & Control Systems
Mathieu Bajodek, Alexandre Seuret, Frederic Gouaisbaut
Summary: This paper discusses the stability analysis of a reaction-diffusion equation interconnected with a finite-dimensional system. It proposes a Lyapunov analysis method to obtain stability criteria and derives stability conditions expressed as linear matrix inequalities through Legendre expansion.
Article
Automation & Control Systems
Lakshmanan Shanmugam, Young Hoon Joo
Summary: This article discusses the stability and stabilization analysis of large-scale multiarea interconnected power systems involving wind farms using the Lyapunov stability theory and T-S fuzzy model, with integration of DFIG-based wind turbine systems. Decentralized sampled-data feedback load frequency control is designed to ensure stability, with simulation results showing asymptotic stability under the sampled-data controller.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Xiaoyan Chu, Xiaohong Nian, Hongyun Xiong, Haibo Wang
Summary: This paper addresses the issues of fault estimation and fault tolerant control for three-motor web-winding systems in the presence of multiple disturbances and actuator faults. It proposes a disturbance compensation-based fault estimation observer and an effective fault tolerant control strategy based on interval matrix and disturbance local compensation methods. The proposed method's effectiveness is verified through simulations and analysis.
INTERNATIONAL JOURNAL OF CONTROL
(2021)
Article
Mathematics, Interdisciplinary Applications
Xichao Zhou, Zhenlan Dou, Weiming Zhang, Yiwei Zhang, Deyi Wang, Chunyan Zhang, Dezhi Xu
Summary: This paper presents a solution to the problems of load frequency control and sensor fault-tolerant control in a multiarea power grid. By using an interval observer and a sliding mode control strategy, the system frequency can be stabilized and the impact of sensor faults on system performance can be reduced.
Article
Automation & Control Systems
Yunfei Mu, Huaguang Zhang, Yuqing Yan, Xiangpeng Xie
Summary: This article focuses on the distributed robust fault estimation problem for a kind of discrete-time interconnected systems with input and output disturbances. An augmented system is constructed for each subsystem by considering the fault as a special state. A distributed fault estimation observer design scheme that utilizes the associated information among subsystems is presented to reconstruct faults and suppress disturbances. Additionally, a common Lyapunov matrix-based multiconstrained design method is proposed to improve fault estimation performance.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Robotics
Jinbao Zhao, Ke Zhang, Maxiao Hou, Hao Zhang, Yunfei Bai, Yanzheng Huang, Jianan Li
Summary: In this paper, a suitable model for detecting actuator faults in robotic manipulators is presented, and a fault detection scheme based on the model is proposed. Simulation experiments on a masonry robot verify the effectiveness of the scheme.
JOURNAL OF FIELD ROBOTICS
(2023)
Article
Engineering, Mechanical
Sheng-Juan Huang, Liang-Dong Guo, Li-Bing Wu
Summary: This paper mainly focuses on the design of observers and fault estimation for nonlinear systems with faults. A lower triangle matrix (LTM)-based observer structure design criterion (OSDC) is proposed for the given nonlinear system, which can design an estimation observer with generality and relaxed constraints to well estimate the fault occurring in the system. Simulation examples test the proposed OSDC technique.
NONLINEAR DYNAMICS
(2022)
Article
Mathematics
Mauro Di Marco, Mauro Forti, Riccardo Moretti, Luca Pancioni, Giacomo Innocenti, Alberto Tesi
Summary: This article investigates a class of neural networks with a generic memristor model, which accurately describes real memristor devices. By analyzing the mathematical description and convergence properties, the paper proves that the network can converge to equilibrium points in various situations, which is highly useful for content addressable memories and real-time signal processing in neural networks.
Article
Chemistry, Analytical
Sofiane Bououden, Ilyes Boulkaibet, Mohammed Chadli, Abdelaziz Abboudi
Summary: This paper proposes a robust fault-tolerant model predictive control approach for discrete-time linear systems, using virtual and real observers to improve observation accuracy and control system faults. The use of linear matrix inequalities (LMIs) ensures stability of the whole closed-loop system.
Article
Mathematics, Applied
Yunfei Mu, Huaguang Zhang, Yuqing Yan, Yingchun Wang
Summary: This paper focuses on the design of state and fault estimation for continuous-time inter-connected systems. A novel distributed observer synthesis scheme based on the unknown input method is proposed to simultaneously reconstruct system states and faults by utilizing the associated information among subsystems. The method has broader applications and does not require specific constraints on the faults studied in each subsystem. New conditions based on Lyapunov theory and matrix transformation technique are proposed to ensure the stability of local error systems, and observer gains can be solved using linear matrix inequalities (LMIs). The conditions are expressed in the original system matrices, reducing computational complexity compared to previous research. Simulation experiments are conducted to verify the validity of the proposed distributed state and fault estimation scheme.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Mathematics, Applied
Zheng Ma, Jiasheng Song, Jianping Zhou
Summary: This paper investigates the reliable event-based dissipative filter design problem for networked system with quantization and sensor fault. A design method for dissipative filter is proposed to ensure asymptotic stability and dissipativity performance. The effectiveness and feasibility of the developed algorithm are demonstrated through two practical examples.
APPLIED MATHEMATICS AND COMPUTATION
(2022)
Article
Mathematics, Applied
Tu Zhang, Liwei Li, Mouquan Shen
Summary: This paper focuses on the finite-time control of linear parameter-varying systems using the interval observer method. An unknown input observer framework is employed to construct the interval observer and avoid cooperativity constraints in estimation error dynamics. A control scheme with upper-lower bounds of the controller is established to handle time-varying parameters in the control input channel. Sufficient conditions formulated as LMIs are used to ensure the finite-time boundedness of error systems, and the proposed strategy's effectiveness is evaluated through numerical simulations.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Automation & Control Systems
Ziyun Wang, Mengdi Zhang, Yan Wang, Yuqian Chen, Zhicheng Ji
Summary: A fault estimation algorithm based on interval set inversion observer filtering for linear discrete-time systems with unknown but bounded disturbance and noise is proposed. The algorithm minimizes the F-norm of the state error to design a conservative interval observer. Vector Boolean operations and dimensional operations are used to contract the guaranteed interval estimation results of the observer. The computational complexity, memory requirements, and accuracy of the algorithm are also analyzed.
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS
(2022)
Article
Engineering, Multidisciplinary
Dingguo Liang, Ying Yang, Rongchang Li, Zhengen Zhao
Summary: This paper studies a robust distributed fault estimation method for interconnected systems with process and measurement disturbances. By designing robust distributed fault estimators, the influence of disturbances on fault estimation errors is constrained, and the conditions for plug-and-play operations are analyzed. Simulation studies on two cases have been conducted to demonstrate the effectiveness of the proposed method.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Automation & Control Systems
Yu-kai Fu, Guang-Hong Yang, Hong-Jun Ma, Hao Chen, Bo Zhu
Summary: This article introduces a statistical fault diagnosis method that combines Kalman filter and generalized likelihood ratio test to detect fixture faults in the car body-in-white assembly process. The method accurately identifies the occurrence and location of faults, and effectively reduces false alarms and missed alarms.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Xiu-Xiu Ren, Guang-Hong Yang, Xiao-Guang Zhang
Summary: This article presents the epsilon-stealthy attack against cyber-physical systems under the stochastic communication protocol (SCP) and aims to develop an optimal attack strategy. A novel attack model is proposed, and the analytical expression of the optimization problem is given. The results are validated through numerical simulations and experiments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Li-Ning Liu, Guang-Hong Yang
Summary: This article investigates the distributed push-pull gradient optimization algorithm over a directed communication network under false data injection attacks. The convergence of the algorithm under these attacks is analyzed, and conditions are provided to ensure convergence. Additionally, a distributed reputation-based neighborhood-observe strategy is proposed to detect and isolate malicious agents in the network. Unlike existing resilient strategies, this strategy completely eliminates the influence of false data on the algorithm, ensuring that the remaining normal agents can converge to the optimal solution. The effectiveness of the proposed strategy is validated through examples.
OPTIMAL CONTROL APPLICATIONS & METHODS
(2023)
Article
Automation & Control Systems
Xiu-Xiu Ren, Guang-Hong Yang
Summary: This article studies the filtering problem for a class of stochastic nonlinear system under non-Gaussian-Levy noise and cyber attacks. A modified Kalman filter is proposed to handle the extremely large values caused by the Levy noises and minimize the error covariance by designing filter parameters. In addition, convergence analysis of the filtering error and a boundedness condition for the upper bound are provided.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2023)
Article
Automation & Control Systems
Jing-Jing Yan, Guang-Hong Yang, Xiao-Xu Liu
Summary: This article investigates the problem of secure state estimation for nonlinear industrial cyber-physical systems (ICPSs) with multiple transmission channels subject to denial-of-service (DoS) attacks. A new nonlinear resilient observer scheme is proposed using a multigain switching mechanism and Takagi-Sugeno fuzzy models, quantifying resilience by attack duration and frequency. Compared to existing results on linear ICPSs with single transmission channels, the secure estimation problem for nonlinear ICPSs with multiple channels is more challenging and has greater practical significance. The effectiveness of the scheme is illustrated through simulation and experimentation on a rigid robot system and a rotary inverted pendulum.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Xiao-Guang Zhang, Guang-Hong Yang, Xiu-Xiu Ren
Summary: This article investigates stealthy attacks on cyber-physical systems using the stochastic communication protocol (SCP) to avoid data collisions. The attack's stealthiness is measured by the Kullback-Leibler divergence, and the attack performance is measured by the corrupted error covariance. The proposed attack strategy takes SCP-introduced effects into account and uses incomplete measurement outputs at each time instant to construct an attack model. A nonconvex optimization problem is formulated to achieve the desired attack performance for a given stealthy level. Analytical expressions for the attack parameters are derived, and simulations and experiments are conducted to validate the proposed theoretical results.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Xiu-Xiu Ren, Guang-Hong Yang, Xiao-Guang Zhang
Summary: This article focuses on designing a strictly stealthy attack strategy against multisensor cyber-physical systems under the round-robin protocol. A novel protocol-based attack model is developed and an optimization problem is formulated to solve the optimal attack parameters. Experiments on a monitoring system are conducted to verify the results.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Xiao-Guang Zhang, Guang-Hong Yang, Xiu-Xiu Ren
Summary: This article presents a design of stealthy attack against industrial cyber-physical systems using the random access protocol (RAP) to avoid data collisions. The goal is to develop an optimal attack that decreases the estimation performance while maintaining strict stealthiness. Due to the limitations of RAP, only a portion of transmitted data can be utilized for constructing attack signals, posing challenges to attack design. The article derives a novel modified algebraic Riccati equation (MARE) to establish the precondition for attack design, and a sufficient condition for the existence of the steady state of the modified Kalman filter is provided. The optimal attack strategy is obtained by solving a convex optimization problem, and analytical optimal attack parameters are presented and proven. Experiments and simulations are conducted to validate the findings.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Jing-Jing Yan, Guang-Hong Yang
Summary: This article focuses on secure state estimation for cyber-physical systems (CPSs) with nonlinear strict-feedback system models. The observer designed to receive the measured output over a wireless communication network is subject to denial-of-service (DoS) attacks. A novel multiobserver scheme and switched algorithm are proposed to improve estimation performance by introducing hold-input mechanism and cascade observer technique, overcoming the issue of unstable estimation error systems during attack intervals.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
An-Yang Lu, Guang-Hong Yang
Summary: This article investigates the problem of attack detection and identification for cyber-physical systems under sparse sensor attacks. It proposes a novel candidate set construction algorithm to efficiently generate the candidate set containing all possible sets of corrupted channels. It also introduces a unified attack model and necessary and sufficient conditions for undetectable/unidentifiable attacks, and proposes a new attack detection and identification strategy.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Xiang-Yu Kong, Guang-Hong Yang
Summary: This article investigates the problem of intrusion detection of stealthy false data injection (FDI) attacks in train-ground communication systems. An intrusion detection method is proposed based on the self-generated coding technology, improving the security of data transmission. Furthermore, a defence model is established to reconstruct the position information of compromised trains, and the effectiveness of the proposed method is verified through simulation experiments.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
(2023)
Article
Automation & Control Systems
Cheng-Yuan Sun, Guang-Hong Yang
Summary: This article introduces a hierarchical data-driven (HDD) method for quality-related fault diagnosis in industrial systems. The proposed approach uses ensemble learning to avoid selecting the optimal kernel parameter, reducing computation costs. Additionally, a novel quality-related fault diagnosis scheme is designed to monitor faults and reveal trends in the quality state. The effectiveness of the proposed method is demonstrated through simulation and industrial cases.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Li-Ning Liu, Guang-Hong Yang
Summary: This article studies the coordination economic dispatch problem for distributed energy resources, and proposes a switched distributed coordination algorithm to solve the problem over an unreliable communication network with DoS attacks. The algorithm integrates normal mode and attack mode, and limits the impact of attacks on convergence and optimality. It guarantees the exponential convergence of the algorithm under DoS attacks.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2023)
Article
Automation & Control Systems
Jipeng Zhao, Guang-Hong Yang
Summary: This article studies the problem of finite-time adaptive resilient control for MIMO nonlinear switched systems with unknown dead zone and unknown false data injection (FDI) attacks. A new coordinate transformation is designed to address the negative impact of FDI attacks, and the Nussbaum gain technique is introduced to deal with the difficulty of unknown time-varying weights caused by FDI attacks. A finite-time resilient control algorithm is designed based on the common Lyapunov function method, which ensures bounded signals of the closed-loop systems under arbitrary switching rules, even in the presence of unknown FDI attacks. The proposed control algorithm enables the controlled systems to reach an equilibrium state in a finite time and removes the assumption of positive attack weights. A practical simulation example demonstrates the validity of the designed control method.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Automation & Control Systems
Li-Ning Liu, Guang-Hong Yang, Saud Wasly
Summary: This article investigates the coordination dual-mode energy management problem for a microgrid, proposing a novel distributed algorithm that adaptively responds to mode switching and obtains optimal operation in a distributed way. Compared with existing algorithms, this algorithm has a predefined convergence time and an event-triggered communication strategy, greatly reducing communication resource consumption.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)